CRAN/E | gmnl

gmnl

Multinomial Logit Models with Random Parameters

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An implementation of maximum simulated likelihood method for the estimation of multinomial logit models with random coefficients as presented by Sarrias and Daziano (2017) doi:10.18637/jss.v079.i02. Specifically, it allows estimating models with continuous heterogeneity such as the mixed multinomial logit and the generalized multinomial logit. It also allows estimating models with discrete heterogeneity such as the latent class and the mixed-mixed multinomial logit model.

Citation gmnl citation info
msarrias.com/description.html

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Version 1.1-3.2
R ≥ 3.6.0
Published 2020-05-27 1436 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Mauricio Sarrias

msarrias86@gmail.com

Authors

Mauricio Sarrias

aut / cre

Ricardo Daziano

aut

Yves Croissant

ctb

Material

NEWS
Reference manual
Package source

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Econometrics

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Old Sources

gmnl archive

Depends

R ≥ 3.6.0
maxLik
Formula

Imports

plotrix
msm
mlogit
truncnorm
stats
graphics
utils

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